Utilizing AI to improve the quality of learning in Elementary Schools in Indonesia

This study explores the optimal use of artificial intelligence (AI) in elementary schools in Indonesia, specifically in Bangkalan, Medan, Mojokerto, and Grobogan. A qualitative case study design, complemented by quantitative surveys, was employed to assess how AI can enhance learning quality amidst existing challenges. Data was collected through literature reviews, field observations, interviews, surveys, and focus group discussions (FGDs) across 32 schools. The study found that AI adoption is currently limited to conventional technology aids, with full AI potential for adaptive learning yet to be realized. Key challenges include inadequate infrastructure and insufficient teacher training. However, significant opportunities were identified, such as personalizing learning experiences and improving data analysis to support individualized instruction. Recommendations include upgrading technology infrastructure, providing ongoing teacher training, and developing supportive educational policies. Despite difficulties like limited internet access and a lack of AI understanding among teachers, schools are showing initiative in technology adoption. Future research should focus on enhancing local initiatives, developing targeted teacher training, and exploring AI's impact on student outcomes in various educational settings.